UPM Institutional Repository

Discriminant analysis of water quality data in Langat River


Mohd Ali, Zalina and Ibrahim, Noor Akma and Mengersen, Kerrie and Shitan, Mahendran and Juahir, Hafizan (2013) Discriminant analysis of water quality data in Langat River. In: International Conference on Environmental Forensics 2013, 11-14 Nov. 2013, Marriot Hotel, Putrajaya, Malaysia. (pp. 597-601).


River monitoring processes usually generate large databases of water quality variables. These water quality variables are important to identify the status of the river. Due to multidimensionality of complex characteristics in river water, meaningful information from a large database can be extracted by using multivariate statistical methods, i.e., discriminant analysis (DA). Appropriate univariate transformation and data screening for multivariate outlier’s detection were considered. The DA approach used in this study gave better information on river water quality, especially concerning the contribution of the variables in discriminating between the three spatial areas in Langat River.

Download File

PDF (Abstract)
Discriminant analysis of water quality data in Langat River.pdf

Download (48kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Environmental Studies
Institute for Mathematical Research
DOI Number: https://doi.org/10.1007/978-981-4560-70-2_106
Publisher: Springer
Keywords: Discriminant analysis; Water quality; Cluster analysis; Langat River
Depositing User: Nabilah Mustapa
Date Deposited: 30 Jun 2017 09:44
Last Modified: 30 Jun 2017 09:44
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/978-981-4560-70-2_106
URI: http://psasir.upm.edu.my/id/eprint/55818
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item